Explainable Graph Spectral Clustering For GloVe-like Text Embeddings

Fuente: arXiv
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Main Authors: Kłopotek, Mieczysław A., Wierzchoń, Sławomir T., Starosta, Bartłomiej, Borkowski, Piotr, Czerski, Dariusz, Laskowski, Eryk
Format: Preprint
Published: 2025
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author Kłopotek, Mieczysław A.
Wierzchoń, Sławomir T.
Starosta, Bartłomiej
Borkowski, Piotr
Czerski, Dariusz
Laskowski, Eryk
author_facet Kłopotek, Mieczysław A.
Wierzchoń, Sławomir T.
Starosta, Bartłomiej
Borkowski, Piotr
Czerski, Dariusz
Laskowski, Eryk
contents In a previous paper, we proposed an introduction to the explainability of Graph Spectral Clustering results for textual documents, given that document similarity is computed as cosine similarity in term vector space. In this paper, we generalize this idea by considering other embeddings of documents, in particular, based on the GloVe embedding idea.
format Preprint
id arxiv_https___arxiv_org_abs_2508_14075
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Explainable Graph Spectral Clustering For GloVe-like Text Embeddings
Kłopotek, Mieczysław A.
Wierzchoń, Sławomir T.
Starosta, Bartłomiej
Borkowski, Piotr
Czerski, Dariusz
Laskowski, Eryk
Machine Learning
Artificial Intelligence
In a previous paper, we proposed an introduction to the explainability of Graph Spectral Clustering results for textual documents, given that document similarity is computed as cosine similarity in term vector space. In this paper, we generalize this idea by considering other embeddings of documents, in particular, based on the GloVe embedding idea.
title Explainable Graph Spectral Clustering For GloVe-like Text Embeddings
topic Machine Learning
Artificial Intelligence
url https://arxiv.org/abs/2508.14075